SBU Doppler LiDAR IMPACTS V1

The SBU Doppler LiDAR IMPACTS dataset consists of Doppler velocity and backscatter intensity from the Stony Brook University (SBU) Doppler LiDAR. These data were collected during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The dataset files are available in netCDF-4 format from January 1 through February 26, 2020.

SBU Doppler LiDAR IMPACTS 数据集由石溪大学（Stony Brook University，简称SBU）的 Doppler LiDAR 所提供的多普勒速度和后向散射强度数据构成。这些数据收集于“大西洋沿岸威胁性暴风雪微物理和降水研究”（Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms，简称IMPACTS）实地考察活动期间。IMPACTS 是一项为期三年的冬季部署序列（2020-2023），旨在研究美国大西洋沿岸的暴风雪。该活动旨在（1）提供对理解雪带形成、组织和演化的关键观察；（2）研究雪粒的微物理特征及其可能的增长机制在雪带间的变化；（3）提升降雪遥感解释和建模能力，以显著推进预测能力。数据集文件以 netCDF-4 格式提供，时间范围从2020年1月1日至2020年2月26日。